Abstract

This paper presents a review of spectral decomposition of seismic data, since it's inception nearly in 1997. It discusses various techniques and applications of spectral decomposition in seismic data processing and interpretation. It is also known as timefrequency analysis consists of transforming non stationary signal in time/space from time/space domain to time/space vs frequency domain. The frequency domain representation illustrates many important features that are not apparent in time domain representation. Spectral decomposition is a non-unique process for which various techniques exists and newer modified techniques are being discovered. Over the years, spectral decomposition of seismic data has progressed from tool for stratigraphy analysis to direct hydrocarbon indicator (DHI) technique. This technique is mostly used by seismic interpreters and being DHI, it is a potential weapon for minimizing dry well drilling. In coming time, spectral decomposition may can play a significant role in analyzing time lapse seismic data.